import cv2
face_cascade = cv2.CascadeClassiﬁer(cv2.data.haarcascades+'haarcascade_frontalface_default.xml')
eye_cascade = cv2.CascadeClassiﬁer(cv2.data.haarcascades + 'haarcascade_eye.xml')
img = cv2.imread('zhaoliyi.jpg',1)
gray=cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
faces = face_cascade.detectMultiScale(gray,scaleFactor=1.3,minNeighbors=5)
eyes=[]
for (x,y,w,h) in faces:
    img = cv2.rectangle(img, (x, y), (x + w, y + h), (255, 0, 0), 2)
    face_area = img[y:y + h, x:x + w]
    roi_gray=gray[y:y+h,x:x+w]
    eyes = eye_cascade.detectMultiScale(roi_gray)
for (ex, ey, ew, eh) in eyes:
    cv2.rectangle(face_area, (ex, ey), (ex + ew, ey + eh), (0, 255, 0), 1)
cv2.imshow('img2',img)
cv2.waitKey(0)
cv2.destroyAllWindows()
cv2.imwrite('output.jpg',img)
